Passive range sensing techniques: Depth from images

Naokazu Yokoya, Takeshi Shakunaga, Masayuki Kanbara

Research output: Contribution to journalReview article

16 Citations (Scopus)

Abstract

SUMMARY Acquisition of three-dimensional information of a real-world scene from two-dimensional images has been one of the most important issues in computer vision and image understanding in the last two decades. Noncontact range acquisition techniques can be essentially classified into two classes: Passive and active. This paper concentrates on passive depth extraction techniques which have the advantage that 3-D information can be obtained without affecting the scene. Passive range sensing techniques are often referred to as shape-from-x, where x is one of visual cues such as shading, texture, contour, focus, stereo, and motion. These techniques produce 2.5-D representations of visible surfaces. This survey discusses aspects of this research field and reviews some recent advances including video-rate range imaging sensors as well as emerging themes and applications.

Original languageEnglish
Pages (from-to)523-533
Number of pages11
JournalIEICE Transactions on Information and Systems
VolumeE82-D
Issue number3
Publication statusPublished - Jan 1 1999
Externally publishedYes

Keywords

  • Computer vision
  • Motion
  • Passive range sensing
  • Shapc-fromx
  • Shape recovery
  • Stereo

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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    Yokoya, N., Shakunaga, T., & Kanbara, M. (1999). Passive range sensing techniques: Depth from images. IEICE Transactions on Information and Systems, E82-D(3), 523-533.